Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sándor Pecsora"'
Autor:
István Fazekas, Sándor Pecsora
Publikováno v:
Journal of Inequalities and Applications, Vol 2017, Iss 1, Pp 1-16 (2017)
Abstract We study the Bahr-Esseen inequality. We show that the Bahr-Esseen inequality holds with exponent p if it holds with exponent q > p $q>p$ for the truncated and centered random variables. The Bahr-Esseen inequality is also true if the truncate
Externí odkaz:
https://doaj.org/article/34d6a2961c6345dda00a405137feffdd
Autor:
István Fazekas, Sándor Pecsora
Publikováno v:
Special Matrices, Vol 8, Iss 1, Pp 104-122 (2020)
We study the eigenvalues of large perturbed matrices. We consider a pattern matrix P, we blow it up to get a large block-matrix Bn. We can observe only a noisy version of matrix Bn. So we add a random noise Wn to obtain the perturbed matrix An = Bn +
Autor:
István Fazekas, Sándor Pecsora
Publikováno v:
Journal of Inequalities and Applications, Vol 2017, Iss 1, Pp 1-1 (2017)
Externí odkaz:
https://doaj.org/article/9ff445636fbe4e76ad1b382a739f121b
Publikováno v:
The publications of the MultiScience - XXX. MicroCAD International Scientific Conference.
Autor:
Fazekas, István1 fazekas.istvan@inf.unideb.hu, Pecsora, Sándor1 pecsora.sandor@inf.unideb.hu
Publikováno v:
Journal of Inequalities & Applications. 8/18/2017, Vol. 2017 Issue 1, p1-16. 16p.
Autor:
Fazekas, István, Pecsora, Sándor
Publikováno v:
Special Matrices; 2020, Vol. 9 Issue 1, p104-122, 19p